master.dbo.spt_values

关注

转载最新推荐文章于 2026-05-11 16:02:44 发布 2.4k 阅读 AI 写同款· GEO 优化 ›

在PLC中将十六进制数据转换为浮点数（通常遵循IEEE 754标准）需要理解数据存储格式，并按以下步骤操作：通过以上步骤，您可以在PLC中实现十六进制到浮点数的转换。T DBD20 // 将数据传送到浮点数变量（如DB1.DBD20）指数位（8位）：实际指数 = 存储值 - 127（偏移量）。：必须确认PLC的存储顺序（大端或小端），否则结果错误。将两个16位寄存器合并为32位数据，需注意。尾数位（23位）：隐含前导1，实际值为。：确保32位数据在寄存器中连续且对齐。符号位（1位）：0表示正，1表示负。：高位寄存器在前（如西门子PLC）。：低位寄存器在前（如三菱FX系列）。，误差因截断导致）。阅读详情

--统计某月份周情况没有的补0
if object_id('temp_tb') is not null
drop table temp_tb

create table temp_tb
([ID] [numeric](18, 0) IDENTITY(1,1) NOT NULL,
[test_values] int NULL,
[time] datetime null,
);
go

insert into temp_tb([test_values],[time])
select 3,'2009-2-1 10:12:30' union all
select 5,'2009-2-5 09:20:23' union all
select 6,'2009-2-6 11:21:34' union all
select 7,'2009-2-8 12:22:12' union all
select 2,'2009-2-10 16:45:25' union all
select 3,'2009-2-13 13:21:14' union all
select 5,'2009-2-15 15:58:09' union all
select 1,'2009-2-15 08:35:47' union all
select 1,'2009-2-15 09:13:07' union all
select 9,'2009-2-15 09:15:04'

select * from temp_tb

SELECT
    A.[Week],
    ISNULL(COUNT(B.test_values),0) AS num
FROM (
    SELECT
        datepart(week,dateadd(week,0,dateadd(day,number,'2009-02-01'))) AS [Week]
    FROM master.dbo.spt_values
    WHERE type='p' AND number BETWEEN 0 AND 27
    GROUP BY datepart(week,dateadd(week,0,dateadd(day,number,'2009-02-01')))
) AS A
LEFT JOIN temp_tb AS B
    ON A.[Week]=DATEPART(week,time)
GROUP BY A.[Week]

SELECT DATEPART(WEEK,'2009-10-30 12:15:32.1234567 +05:10')  --44周

/*
ID                                      test_values time
--------------------------------------- ----------- -----------------------
1                                       3           2009-02-01 10:12:30.000
2                                       5           2009-02-05 09:20:23.000
3                                       6           2009-02-06 11:21:34.000
4                                       7           2009-02-08 12:22:12.000
5                                       2           2009-02-10 16:45:25.000
6                                       3           2009-02-13 13:21:14.000
7                                       5           2009-02-15 15:58:09.000
8                                       1           2009-02-15 08:35:47.000
9                                       1           2009-02-15 09:13:07.000
10                                      9           2009-02-15 09:15:04.000

(10 行受影响)

Week        num
----------- -----------
6           3
7           3
8           4
9           0

*/

--1、得出一天的时间段记录。
select 时间段=ltrim(a.number)+':00-'+ltrim(b.number)+':00'
from master..spt_values a,master..spt_values b
where a.type='p'and b.type='p'
and a.number between 1 and 24
and b.number between 1 and 24
and a.number=b.number-1

/*
时间段
-------------------------------
1:00-2:00
2:00-3:00
3:00-4:00
4:00-5:00
5:00-6:00
6:00-7:00
7:00-8:00
8:00-9:00
9:00-10:00
10:00-11:00
11:00-12:00
12:00-13:00
13:00-14:00
14:00-15:00
15:00-16:00
16:00-17:00
17:00-18:00
18:00-19:00
19:00-20:00
20:00-21:00
21:00-22:00
22:00-23:00
23:00-24:00

(23 行受影响)
*/

--2、通过1个select语句某个月的所有日期记录
declare @date datetime
set @date='2009-11-23'

select [day]=ltrim(year(@date))+right(100+month(@date),2)+right('0'+ltrim(number),2)
from master..spt_values
where type='p'
  and number >=1
  and number <= datediff(dd,@date,dateadd(month,1,@date))

/*
day
--------------------
20091101
20091102
20091103
20091104
20091105
20091106
20091107
20091108
20091109
20091110
20091111
20091112
20091113
20091114
20091115
20091116
20091117
20091118
20091119
20091120
20091121
20091122
20091123
20091124
20091125
20091126
20091127
20091128
20091129
20091130

(30 行受影响)
*/